Huang Jialing, Hu Yuelin, Wang Shuqing, Liu Yuefang, Sun Xin, Wang Xin, Yu Hongsong
Department of Immunology, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Guizhou, China.
School of Basic Medical Sciences, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Guizhou, China.
Pharmacol Ther. 2025 Mar;267:108807. doi: 10.1016/j.pharmthera.2025.108807. Epub 2025 Jan 31.
Autoimmune diseases involve a variety of cell types, yet the intricacies of their individual roles within molecular mechanisms and therapeutic strategies remain poorly understood. Single-cell RNA sequencing (scRNA-seq) offers detailed insights into transcriptional diversity at the single-cell level, significantly advancing research in autoimmune diseases. This article explores how scRNA-seq enhances the understanding of cellular heterogeneity and its potential applications in the etiology, diagnosis, treatment, and prognosis of autoimmune diseases. By revealing a comprehensive cellular landscape, scRNA-seq illuminates the functional regulation of different cell subtypes during disease progression. It aids in identifying diagnostic and prognostic markers, and analyzing cell communication networks to uncover potential therapeutic targets. Despite its valuable contributions, addressing the limitations of scRNA-seq is essential for making further advancements.
自身免疫性疾病涉及多种细胞类型，然而它们在分子机制和治疗策略中各自作用的复杂性仍知之甚少。单细胞RNA测序（scRNA-seq）在单细胞水平上提供了对转录多样性的详细见解，极大地推动了自身免疫性疾病的研究。本文探讨了scRNA-seq如何增强对细胞异质性的理解及其在自身免疫性疾病的病因、诊断、治疗和预后中的潜在应用。通过揭示全面的细胞图谱，scRNA-seq阐明了疾病进展过程中不同细胞亚群的功能调控。它有助于识别诊断和预后标志物，并分析细胞通讯网络以发现潜在的治疗靶点。尽管scRNA-seq做出了有价值的贡献，但解决其局限性对于取得进一步进展至关重要。
